publication . Part of book or chapter of book . Article . Preprint . Conference object . 2005

dynamic shannon coding

T. Gagie;
  • Published: 30 Mar 2005
  • Publisher: Springer Berlin Heidelberg
Comment: 6 pages; conference version presented at ESA 2004; journal version submitted to IEEE Transactions on Information Theory
ACM Computing Classification System: Data_CODINGANDINFORMATIONTHEORY
free text keywords: Shannon's source coding theorem, Huffman coding, symbols.namesake, symbols, Mathematics, Shannon coding, Discrete mathematics, Theoretical computer science, Tunstall coding, Arithmetic coding, Shannon–Fano coding, Variable-length code, Algorithm, Modified Huffman coding, Signal Processing, Information Systems, Computer Science Applications, Coding (social sciences), Information processing, Data compression, ENCODE, Empirical entropy, Alphabet, Combinatorics, Computer Science - Information Theory, E.4
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17 references, page 1 of 2

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[11] J. Abrahams, “Code and parse trees for lossless source encoding,” Communications in Information and Systems, vol. 1, pp. 113-146, 2001.

[12] M. Liddell and A. Moffat, “Length-restricted coding in static and dynamic frameworks,” in Proceedings of the IEEE Data Compression Conference, 2001, pp. 133-142. [OpenAIRE]

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publication . Part of book or chapter of book . Article . Preprint . Conference object . 2005

dynamic shannon coding

T. Gagie;